Keep pulling the thread on Jensen Huang.
Jensen Huang identified that the primary obstacle to scaling deep learning was the reliance on human labeling, and that a breakthrough in unsupervised or self-supervised learning was necessary for progress.
AI is now capable of learning the fundamental 'language' of complex scientific domains such as proteins, cells, and quantum physics.
The rate of computational improvement at NVIDIA, which Jensen Huang calls 'NVIDIA law time', is a thousand times faster than Moore's law.
NVIDIA is currently the largest customer of TSMC.
NVIDIA CEO Jensen Huang has an organizational structure with almost 60 direct reports.
The process of bringing the Grace Blackwell platform into production was extraordinarily complex and nearly overwhelmed NVIDIA's operational capacity.
Jensen Huang predicts that computing will transform from a paradigm where humans program computers to one where computers program themselves with human guidance.
Jensen Huang predicts that future computers will be able to handle problem sizes a billion times larger than those being worked on today.
Jensen Huang predicts that within five years, the mindset of scientists and engineers will shift, viewing previously hard problems as simple due to advances in AI, leading to an acceleration in problem-solving.
Jensen Huang states that 'Vibe coding' with AI allows anyone to become a software programmer and can produce code that is superior to that of many human programmers.
Jensen Huang predicts that AI is more likely to change 100% of the world's jobs rather than cause 50% of jobs to be lost.
Jensen Huang asserts that software programming is one of the first complex professions that AI is successfully automating.